Database-centric architecture

About: Database-centric architecture is a research topic. Over the lifetime, 1799 publications have been published within this topic receiving 48836 citations.

A Taxonomy of Orthogonal Properties of Software Architectures

Abstract: There are several suggestions regarding the definition of the term software architecture. Yet discussions concerning the subject are ambiguous. This leads to unclear discussions and slow scientific progress. This paper suggests a coherent set of properties a Taxonomy of Orthogonal Properties of Software Architecture (TOPSA) that enables more precise communication within the software architecture domain. The TOPSA has been empirically validated by using it during an industrial development project. The paper shows some uses of the TOPSA in education and system development. It is concluded that the TOPSA is applicable for a wide range of uses. The TOPSA sharpens the conceptual tools available in the domain, resulting in more precise preservation, retrieval and use of knowledge within the software architecture domain

A plausibility-driven approach to computer architecture design

Abstract: A dilemma skirting the discipline of computer architecture concerns the plausibility of architectural designs. To counter the widely held perception that architecture is a nebulous entity is a proposal to view such designs as specifications of constraints to be satisfied.

A framework for software reference architecture analysis and review

Abstract: Tight time-to-market needs pushes software companies and IT con- sulting firms to continuously look for techniques to improve their IT services in general, and the design of software architectures in particular. The use of soft- ware reference architectures allows IT consulting firms reusing architectural knowledge and components in a systematic way. In return, IT consulting firms face the need to analyze the return on investment in software reference architec- tures for organizations, and to review these reference architectures in order to ensure their quality and incremental improvement. Little support exists to help IT consulting firms to face these challenges. In this paper we present an empiri- cal framework aimed to support the analysis and review of software reference architectures and their use in IT projects by harvesting relevant evidence from the wide spectrum of involved stakeholders. Such a framework comes from an action research approach held in everis, an IT consulting firm. We report the issues found so far.

Architectural description of embedded systems: a systematic review

Abstract: Embedded systems have gained more and more attention, as variety and complexity of these systems have increased. In particular, many of these systems are also critical regarding dependability, safety, security, among others. In parallel, since software architectures and reference architectures form the backbone of any successful system, including embedded systems, an important and even essential activity is to properly describe such architectures. However, to our best knowledge, there is no detailed panorama on how software architectures and reference architectures for embedded systems could be represented. Thus, the main contribution of this paper is to present and discuss results of a systematic review, aiming at providing this wide and, at the same time, deep panorama. We found out that different approaches have been proposed and used, lacking of consensus on how to better represent architectures of embedded systems. We also identified a range of quality requirements and constraints that have been considered in the architectural description of these systems. Furthermore, these results can be considered as valuable means to identify research lines that need to be further investigated.

A limits study of benefits from nanostore-based future data-centric system architectures

Abstract: The adoption of non-volatile memories (NVMs) in system architecture and the growth in data-centric workloads offer exciting opportunities for new designs. In this paper, we examine the potential and limit of designs that move compute in close proximity to NVM-based data stores. To address the challenges in evaluating such system architectures for distributed systems, we develop and validate a new methodology for large-scale data-centric workloads. We then study "nanostores" as an example design that constructs distributed systems from building blocks with 3D-stacked compute and NVM layers on the same chip, replacing both traditional storage and memory with NVM. Our limits study demonstrates significant potential of this approach (3-162X improvement in energy delay product) over 2015 baselines, particularly for IO-intensive workloads. We also discuss and quantify the impact of network bandwidth, software scalability, and power density, and design tradeoffs for future NVM-based data-centric architectures.